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cs.IR2026
Slim Foundation Models for Latency-Critical Recommendation Serving
Danyal Aftab, Anas Zafar, Assadig Abakr +1
Click-through rate (CTR) prediction is a core component of recommendation and advertising systems. Large language models (LLMs) offer rich semantic priors that improve prediction q…
cs.CV2026
When Masking Helps or Hurts Robustness in Compressed CLIP: A Pre-Deployment Diagnostic
Muhammad Zawish, Steven Davy
This paper demonstrate that whether masking-based token pruning helps or hurts worst-group robustness can be predicted before deployment, without labels or fine-tuning. A systemati…